Author: Chi Xie
Publisher:
ISBN:
Category : Travel time (Traffic engineering)
Languages : en
Pages : 210
Book Description
Arterial Route Travel Time Estimation and Prediction Integrating Section- and Point-based Traffic Data
Author: Chi Xie
Publisher:
ISBN:
Category : Travel time (Traffic engineering)
Languages : en
Pages : 210
Book Description
Publisher:
ISBN:
Category : Travel time (Traffic engineering)
Languages : en
Pages : 210
Book Description
Arterial Road Travel Time Estimation and Prediction
Author: Hong'en Lin
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 430
Book Description
In this research, a new approach for arterial road travel time estimation and prediction has been proposed and developed for providing reliable dynamic travel time information for arterial road networks. The results of the research should benefit arterial road traffic management and some travel time related applications.
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 430
Book Description
In this research, a new approach for arterial road travel time estimation and prediction has been proposed and developed for providing reliable dynamic travel time information for arterial road networks. The results of the research should benefit arterial road traffic management and some travel time related applications.
Using Real-time Traffic Data to Improve Traffic Flow
Author:
Publisher:
ISBN:
Category : Traffic estimation
Languages : en
Pages : 52
Book Description
Publisher:
ISBN:
Category : Traffic estimation
Languages : en
Pages : 52
Book Description
Access to Destinations
Author: Gary A. Davis
Publisher:
ISBN:
Category : Traffic flow
Languages : en
Pages : 49
Book Description
The objectives of this project were to (a) produce historic estimates of travel times on Twin-Cities arterials for 1995 and 2005, and (b) develop an initial architecture and database that could, in the future, produce timely estimates of arterial traffic volumes and travel times. Our Phase I field study indicated that on arterial links where both the demand traffic volume and the signal timing are known, model-based estimates of travel time that are on average within 10% of measured values can be obtained. Phase II of this project then focused on applying this approach to the entire Twin Cities arterial system. The Phase II effort divided into three main subtasks: (1) updating estimates of demand traffic volume obtained from a transportation planning model to make them consistent with available volume measurements, (2) collecting information on traffic signal locations in the Twin Cities and compiling this into a geographic database, and (3) combining the updated traffic volumes and signal information to produce link-by-link peak-period travel time estimates. The traffic volume update took as inputs the predicted volumes generated by a traffic assignment model and measured average annual daily traffic from automatic traffic recorders, and gave as output updated estimates of the traffic volumes for links lacking automatic traffic recorders. A request to state, county and municipal agencies in the seven-county metro area produced Information on approximately 2,900 traffic signals. Estimated arterial travel times for the morning and afternoon peak periods for 1995 and 2005 were then computed and sent to other components of the Access to Destinations effort.
Publisher:
ISBN:
Category : Traffic flow
Languages : en
Pages : 49
Book Description
The objectives of this project were to (a) produce historic estimates of travel times on Twin-Cities arterials for 1995 and 2005, and (b) develop an initial architecture and database that could, in the future, produce timely estimates of arterial traffic volumes and travel times. Our Phase I field study indicated that on arterial links where both the demand traffic volume and the signal timing are known, model-based estimates of travel time that are on average within 10% of measured values can be obtained. Phase II of this project then focused on applying this approach to the entire Twin Cities arterial system. The Phase II effort divided into three main subtasks: (1) updating estimates of demand traffic volume obtained from a transportation planning model to make them consistent with available volume measurements, (2) collecting information on traffic signal locations in the Twin Cities and compiling this into a geographic database, and (3) combining the updated traffic volumes and signal information to produce link-by-link peak-period travel time estimates. The traffic volume update took as inputs the predicted volumes generated by a traffic assignment model and measured average annual daily traffic from automatic traffic recorders, and gave as output updated estimates of the traffic volumes for links lacking automatic traffic recorders. A request to state, county and municipal agencies in the seven-county metro area produced Information on approximately 2,900 traffic signals. Estimated arterial travel times for the morning and afternoon peak periods for 1995 and 2005 were then computed and sent to other components of the Access to Destinations effort.
A Nonlinear State Space Approach to Arterial Travel Time Prediction
Author: Jiann-Shiou Yang
Publisher:
ISBN:
Category : ARIMA (Computer file)
Languages : en
Pages : 62
Book Description
The study uses time series and the Kalman prediction techniques along with modern technology such as the Global Positioning System (GPS) for accurate data collection and analysis. A greater understanding of travel time will help facilitate traffic system performance monitoring, control, planning, and informed route decisions for motorists accessing information from changeable message sings (CMS). The models used for estimations include the autoregressive integrated moving average (ARIMA) and the autoregressive moving average (ARMA). The study collects travel data for the peak hours of travel (3:30-5:00 p.m.) over an eight-month period on the busiest section of Highway 194 in Duluth, Minnesota. The predictions were conducted over two weeks during the summer of 2005. Observed and predicted travel times are charted carefully and report evaluations determine the success of the study.
Publisher:
ISBN:
Category : ARIMA (Computer file)
Languages : en
Pages : 62
Book Description
The study uses time series and the Kalman prediction techniques along with modern technology such as the Global Positioning System (GPS) for accurate data collection and analysis. A greater understanding of travel time will help facilitate traffic system performance monitoring, control, planning, and informed route decisions for motorists accessing information from changeable message sings (CMS). The models used for estimations include the autoregressive integrated moving average (ARIMA) and the autoregressive moving average (ARMA). The study collects travel data for the peak hours of travel (3:30-5:00 p.m.) over an eight-month period on the busiest section of Highway 194 in Duluth, Minnesota. The predictions were conducted over two weeks during the summer of 2005. Observed and predicted travel times are charted carefully and report evaluations determine the success of the study.
Establishing Monitoring Programs for Travel Time Reliability
Author: George F. List, Billy Williams, and Nagui Rouphail, Rob Hranac, Tiffany Barkley, Eric Mai, and Armand Ciccarelli, Lee Rodegerdts, Katie Pincus, and Brandon Nevers, Alan F. Karr, Xuesong Zhou, Jeffrey Wojtowicz, Joseph Schofer, and Asad Khattak
Publisher: Transportation Research Board
ISBN: 0309274257
Category :
Languages : en
Pages : 205
Book Description
This report from the second Strategic Highway Research Program (SHRP 2), which is administered by the Transportation Research Board of the National Academies, defines reliability and describes the research to improve the reliability of highway travel times by mitigating the effects of events that cause unpredictable, fluctuating travel times.
Publisher: Transportation Research Board
ISBN: 0309274257
Category :
Languages : en
Pages : 205
Book Description
This report from the second Strategic Highway Research Program (SHRP 2), which is administered by the Transportation Research Board of the National Academies, defines reliability and describes the research to improve the reliability of highway travel times by mitigating the effects of events that cause unpredictable, fluctuating travel times.
Real Time Estimation of Arterial Travel Time and Operational Measures Through Integration of Real Time Fixed Sensor Data and Simulation
Author: Michael P. Hunter
Publisher:
ISBN:
Category : Traffic estimation
Languages : en
Pages : 170
Book Description
Publisher:
ISBN:
Category : Traffic estimation
Languages : en
Pages : 170
Book Description
Travel Time Estimation and Short-term Prediction in Urban Arterial Networks Using Conditional Independence Graphs and State-space Neural Networks
Author: Ajay Kumar Singh (Graduate of Michigan State University)
Publisher:
ISBN:
Category : City traffic
Languages : en
Pages : 420
Book Description
Publisher:
ISBN:
Category : City traffic
Languages : en
Pages : 420
Book Description
Estimating Arterial Link Travel Time Using Loop Detector Data, Phase II
Author: H. Michael Zhang
Publisher:
ISBN:
Category : Travel time (Traffic engineering)
Languages : en
Pages : 96
Book Description
This report describes efforts towards developing an arterial travel time model using data from inductive loop detectors and traffic controllers. The model consists of two parts. including the speed estimated from the volume and occupancy measured by detectors and the speed estimated based on critical volume/capacity ratio.
Publisher:
ISBN:
Category : Travel time (Traffic engineering)
Languages : en
Pages : 96
Book Description
This report describes efforts towards developing an arterial travel time model using data from inductive loop detectors and traffic controllers. The model consists of two parts. including the speed estimated from the volume and occupancy measured by detectors and the speed estimated based on critical volume/capacity ratio.
Modeling Travel Time in Urban Arterial Networks with Time-variant Turning Movements Using State-space Neural Networks
Author: Timothy Joseph Likens
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 320
Book Description
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 320
Book Description